Least-square regularized regression with non-iid sampling

DOI10.1016/j.jspi.2009.04.007zbMath1176.68163OpenAlexW2042138716MaRDI QIDQ2272113

Quan-Wu Xiao, Zhi-Wei Pan

Publication date: 5 August 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.04.007

zbMATH Keywords

reproducing kernel Hilbert spacestrong mixing conditionleast-square regularized regressionsampling with non-identical distributions

Mathematics Subject Classification ID

General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Error analysis of the moving least-squares method with non-identical sampling, Coefficient regularized regression with non-iid sampling, Convergence rate for the moving least-squares learning with dependent sampling, Error analysis for \(l^q\)-coefficient regularized moving least-square regression, Regression learning with non-identically and non-independently sampling, Concentration estimates for learning with unbounded sampling, Fast learning from \(\alpha\)-mixing observations, Classification with non-i.i.d. sampling, Learning performance of regularized regression with multiscale kernels based on Markov observations, Error analysis of the moving least-squares regression learning algorithm with β-mixing and non-identical sampling

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